Machine Learning Prediction of Length of Stay in Adult Spinal Deformity Patients Undergoing Posterior Spine Fusion Surgery

(1) Background: Length of stay (LOS) is a commonly reported metric used to assess surgical success, patient outcomes, and economic impact. The focus of this study is to use a variety of machine learning algorithms to reliably predict whether a patient undergoing posterior spinal fusion surgery treat...

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Detalles Bibliográficos
Autores principales: Zhang, Andrew S, Veeramani, Ashwin, Quinn, Matthew S., Alsoof, Daniel, Kuris, Eren O., Daniels, Alan H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471961/
https://www.ncbi.nlm.nih.gov/pubmed/34575182
http://dx.doi.org/10.3390/jcm10184074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471961/
https://www.ncbi.nlm.nih.gov/pubmed/34575182
http://dx.doi.org/10.3390/jcm10184074

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